{"id":"W166531706","doi":"","title":"Privacy, Trusts and Cross-Border Transfers of Personal Information: The Quebec Perspective in the Canadian Context","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Legal principles and applications","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Personally identifiable information; Business; Statute; Context (archaeology); Data Protection Act 1998; Scope (computer science); Legislation; Order (exchange); Liability; Information privacy; Express trust; Freedom of information; Law; Political science; Accounting; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002378618,0.0004140962,0.0003753114,0.002275686,0.01791724,0.01111993,0.001596217,0.003374917,0.007824073],"category_scores_gemma":[0.006221941,0.0003386889,0.0006130075,0.00465547,0.0123608,0.004590008,0.002996211,0.003201617,0.0003299765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1372537,"about_ca_system_score_gemma":0.1135025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961025,"about_ca_topic_score_gemma":0.9956509,"domain_scores_codex":[0.9960943,0.00095526,0.0000985094,0.0003438193,0.001139577,0.001368488],"domain_scores_gemma":[0.9950879,0.001622916,0.0003729194,0.000309021,0.001852512,0.0007546171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002097737,0.00001194311,0.003785661,0.00004654766,0.00001279326,0.0005682078,0.009312969,0.001003389,0.0001039139,0.9676761,0.009902883,0.007554564],"study_design_scores_gemma":[0.00005270633,0.00003889154,0.02917423,0.001255777,0.0001283252,0.0009317294,0.05499642,0.006864225,0.0004630458,0.2467061,0.6591511,0.0002374352],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1220383,0.01452438,0.009872231,0.141118,0.0004164957,0.0001309811,0.001471566,0.00006911439,0.7103589],"genre_scores_gemma":[0.9323845,0.007075862,0.00252162,0.005720167,0.00009861004,0.00004990417,0.0001753612,0.00002367964,0.05195029],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1372537,"threshold_uncertainty_score":0.9958497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007725915589079477,"score_gpt":0.3252167629790057,"score_spread":0.3174908473899262,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}